ACL

Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL

Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； School of Computer Science and Technology, Tongji University（同济大学计算机科学与技术学院） 纠错

Comments Accepted by ACL 2025 (Findings)

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation

Zican Dong, Junyi Li, Jinhao Jiang, Mingyu Xu, Wayne Xin Zhao, Bingning Wang, Weipeng Chen

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学人工智能学院） ； Department of Computer Science, National University of Singapore（新加坡国立大学计算机科学系） ； Baichuan Inc.（百川公司） 纠错

Comments ACL2025 Main

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin

Comments Accepted by ACL 2025 main conference

FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation

Qianli Wang, Nils Feldhus, Simon Ostermann, Luis Felipe Villa-Arenas, Sebastian Möller, Vera Schmitt

机构 * Quality and Usability Lab, Technische Universität Berlin（柏林技术大学质量与可用性实验室） ； German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心） ； Deutsche Telekom（德国电信） ； Saarland Informatics Campus（萨尔州信息学校区） ； Centre for European Research in Trusted AI (CERTAIN)（可信人工智能欧洲研究中心） ； BIFOLD – Berlin Institute for the Foundations of Learning and Data（柏林学习与数据基础研究院） 纠错

Comments ACL 2025 Findings; camera-ready version

Revisiting In-Context Learning with Long Context Language Models

Jinheon Baek, Sun Jae Lee, Prakhar Gupta, Geunseob Oh, Siddharth Dalmia, Prateek Kolhar

机构 * KAIST（韩国科学技术院） ； Google DeepMind（谷歌DeepMind） 纠错

Comments ACL Findings 2025

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning

Liyu Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song

机构 * Department of Computer Science and Engineering, HKUST, Hong Kong SAR, China（计算机科学与工程系，香港科技大学，香港特别行政区，中国） 纠错

Comments Findings of ACL2025

Distance between Relevant Information Pieces Causes Bias in Long-Context LLMs

Runchu Tian, Yanghao Li, Yuepeng Fu, Siyang Deng, Qinyu Luo, Cheng Qian, Shuo Wang, Xin Cong, Zhong Zhang, Yesai Wu, Yankai Lin, Huadong Wang, Xiaojiang Liu

Comments ACL 2025 Findings

Which Demographics do LLMs Default to During Annotation?

Johannes Schäfer, Aidan Combs, Christopher Bagdon, Jiahui Li, Nadine Probol, Lynn Greschner, Sean Papay, Yarik Menchaca Resendiz, Aswathy Velutharambath, Amelie Wührl, Sabine Weber, Roman Klinger

机构 * Fundamentals of Natural Language Processing, University of Bamberg, Germany（自然语言处理基础，巴姆贝格大学，德国） 纠错

Comments ACL 2025

Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering

Jan Hofmann, Cornelia Sindermann, Roman Klinger

机构 * Institut für Maschinelle Sprachverarbeitung, University of Stuttgart, Germany（机械语言处理研究所，斯图加特大学） ； Computational Digital Psychology, Interchange Forum for Reflecting on Intelligent Systems, University of Stuttgart, Germany（计算数字心理学，智能系统反思交流论坛，斯图加特大学） ； Fundamentals of Natural Language Processing, University of Bamberg, Germany（自然语言处理基础，巴姆堡大学） 纠错

Comments Accepted to the REALM workshop at ACL 2025

Large Vocabulary Size Improves Large Language Models

Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato

机构 * SB Intuitions 纠错

Comments Findings of ACL 2025

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen

机构 * South China University of Technology（华南理工大学） ； Pazhou Laboratory（琶洲实验室） ； Hong Kong University of Science and Technology（香港科学与技术大学） 纠错

Comments Accepted by ACL2025

Reward Generalization in RLHF: A Topological Perspective

Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Yang Han, Josef Dai, Xuehai Pan, Yaodong Yang

机构 * Center for AI Safety and Governance, Institute for AI, Peking University（人工智能安全与治理中心，人工智能研究院，北京大学） ； Tsinghua University（清华大学） ； Baichuan Inc（北川公司） 纠错

Comments 46 pages, ACL 2025 (Findings)

Machine Translation Models are Zero-Shot Detectors of Translation Direction

Michelle Wastl, Jannis Vamvas, Rico Sennrich

机构 * Department of Computational Linguistics, University of Zurich（计算语言学系，苏黎世大学） 纠错

Comments ACL 2025 Findings

GeLLMO: Generalizing Large Language Models for Multi-property Molecule Optimization

Vishal Dey, Xiao Hu, Xia Ning

机构 * Department of Computer Science and Engineering, The Ohio State University, USA（计算机科学与工程系，俄亥俄州立大学） ； Translational Data Analytics Institute, The Ohio State University, USA（转化数据分析研究所，俄亥俄州立大学） ； Department of Biomedical Informatics, The Ohio State University, USA（生物医学信息学系，俄亥俄州立大学） ； College of Pharmacy, The Ohio State University, USA（药学院，俄亥俄州立大学） 纠错

Comments Accepted to ACL Main 2025. Vishal Dey and Xiao Hu contributed equally to this paper

VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models

Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, Irwin King

机构 * The Chinese University of Hong Kong（香港中文大学） ； LIGHTSPEED STUDIOS ； National University of Singapore（新加坡国立大学） 纠错

Comments The Version of Record of this contribution is accepted to ACL 2025 main conference

Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback

Guan-Ting Lin, Prashanth Gurunath Shivakumar, Aditya Gourav, Yile Gu, Ankur Gandhe, Hung-yi Lee, Ivan Bulyko

机构 * Amazon AGI（亚马逊人工智能实验室） ； Graduate Institute of Communication Engineering, National Taiwan University（国立台湾大学通信工程研究所） 纠错

Comments Accepted by ACL 2025

How Humans and LLMs Organize Conceptual Knowledge: Exploring Subordinate Categories in Italian

Andrea Pedrotti, Giulia Rambelli, Caterina Villani, Marianna Bolognesi

机构 * Università di Bologna（博洛尼亚大学） 纠错

Comments Accepted at ACL 2025

A Representation Level Analysis of NMT Model Robustness to Grammatical Errors

Abderrahmane Issam, Yusuf Can Semerci, Jan Scholtes, Gerasimos Spanakis

机构 * Department of Advanced Computing Sciences（高级计算科学系） 纠错

Comments ACL 2025 Findings

Predicting Implicit Arguments in Procedural Video Instructions

Anil Batra, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller

机构 * University of Edinburgh（爱丁堡大学） ； TU Darmstadt（德累斯顿理工大学） 纠错

Comments ACL 2025 Main

LPOI: Listwise Preference Optimization for Vision Language Models

Fatemeh Pesaran Zadeh, Yoojin Oh, Gunhee Kim

Comments ACL 2025 Main. Code is released at https://github.com/fatemehpesaran310/lpoi

Def-DTS: Deductive Reasoning for Open-domain Dialogue Topic Segmentation

Seungmin Lee, Yongsang Yoo, Minhwa Jung, Min Song

机构 * Yonsei University（延世大学） ； LOTTE INNOVATE（乐天创新） ； LG Eletronics（LG电子） ； Onoma AI 纠错

Comments 19 pages, 3 figures, Accepted to Findings of the ACL 2025

Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?

Yifei Wang, Yu Sheng, Linjing Li, Daniel Zeng

机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences（多模态人工智能系统国家重点实验室，自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） 纠错

Comments Camera-ready versions for ACL 2025 Findings

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing

Peiming Guo, Meishan Zhang, Jianling Li, Min Zhang, Yue Zhang

机构 * Institute of Computing and Intelligence, Harbin Institute of Technology (Shenzhen)（计算与智能研究院，哈尔滨工业大学（深圳）） ； School of New Media and Communication, Tianjin University（新媒体与传播学院，天津大学） ； School of Engineering, Westlake University（工程学院，西湖大学） 纠错

Comments Accepted by ACL 2025 main conference

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?

Ziming Wang, Zeyu Shi, Haoyi Zhou, Shiqi Gao, Qingyun Sun, Jianxin Li

机构 * SKLCCSE, School of Computer Science and Engineering, Beihang University（SKLCCSE，计算机科学与工程学院，北航） ； School of Software, Beihang University（软件学院，北航） ； Zhongguancun Laboratory, Beijing（中关村实验室，北京） 纠错

Comments Accepted to ACL2025 Main; The code will be released soon

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG

Xin Sun, Jianan Xie, Zhongqi Chen, Qiang Liu, Shu Wu, Yuehe Chen, Bowen Song, Weiqiang Wang, Zilei Wang, Liang Wang

Comments ACL 2025 main

AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset

Soichiro Murakami, Peinan Zhang, Hidetaka Kamigaito, Hiroya Takamura, Manabu Okumura

机构 * CyberAgent, Inc.（CyberAgent公司） ； Nara Institute of Science and Technology（奈良科学技术研究所） ； Institute of Science Tokyo（东京科学研究所） 纠错

Comments Accepted to ACL2025 Findings

SELF-PERCEPT: Introspection Improves Large Language Models' Detection of Multi-Person Mental Manipulation in Conversations

Danush Khanna, Pratinav Seth, Sidhaarth Sredharan Murali, Aditya Kumar Guru, Siddharth Shukla, Tanuj Tyagi, Sandeep Chaurasia, Kripabandhu Ghosh

机构 * Manipal University Jaipur, India（马普尔大学斋普尔，印度） ； Manipal Institute of Technology, India（马普尔理工学院，印度） ； AryaXAI Alignment Lab, AryaXAI.com, India（AryaXAI对齐实验室，AryaXAI.com，印度） ； National Institute of Technology Karnataka, Surathkal, India（卡纳塔克国家理工学院，苏拉塔卡尔，印度） ； IISER Kolkata, India（印度科钦IISER） 纠错

Comments Accepted to ACL 2025 (Main)

SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation

Ting Xu, Zhichao Huang, Jiankai Sun, Shanbo Cheng, Wai Lam

机构 * The Chinese University of Hong Kong（香港中文大学） ； Bytedance（字节跳动） ； Stanford University（斯坦福大学） 纠错

Comments Accepted by The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025)

HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple Devices

Silin Li, Yuhang Guo, Jiashu Yao, Zeming Liu, Haifeng Wang

Comments Accepted by ACL 2025 Main

CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data Synthesis

Ruixiang Feng, Shen Gao, Xiuying Chen, Lisi Chen, Shuo Shang

Comments accepted by ACL 2025